CAMS Human–AI Scientific Record
Verification and findings for the preservation package of 30 October 2026
This package preserves the thread in which the Dynamics of Organisations account of CAMS was written down, together with the six source files from the blind-rater test. Every file was read, every hash was checked, and the agreement statistics and the USA series were recomputed from the raw CSVs.
The package states its own scope accurately. It is a curated record of one thread with the source files intact. It is not the full 30-month transcript of the collaboration that began with GPT-4 in 2024, and it says so.
1. Integrity checks
| Check | Result |
|---|---|
ZIP SHA-256 against the .sha256 file and the certificate's QR codeac0018a9edf8a0afe547f0a29a5cc8580e4cbaa582125e7c121743527684f9dd | Match |
All 13 entries in MANIFEST_SHA256.json, size and hash | Match |
The standalone summary against 01_SCIENTIFIC_RECORD.md inside the ZIP | Identical |
files (27).zip and files (28).zip: the ZIP files differ, but their contents are identical, so they count as one rater | One rater |
The Claude CSV against the hash in its rater declaration, and the three CSVs against the copies in analysis/blind_rater_accidental_test/data/af6caee554144183cc9e84640ebe4aca9ea2167d5e327e0fc61766d9b60e2a31 | Match |
01_SUMMARY.md, 04_METHODS.md). The files themselves are named 01_SCIENTIFIC_RECORD.md, 04_REPRODUCIBILITY_METHODS.md and so on, and the manifest is correct. Fix the list in a v1.1 so readers aren't sent looking for files that don't exist.2. Blind-rater test
The casebook has 25 anonymised historical cases × 8 nodes = 200 node assessments. The frozen response came from the GPT session that set up the test; the other two came from Claude and Grok. The exploratory composite is Q = A×C + K − S.
| Pair | n | Pearson r | Spearman ρ |
|---|---|---|---|
| Frozen GPT / Claude | 175 | 0.931 | 0.932 |
| Frozen GPT / Grok | 200 | 0.889 | 0.888 |
| Claude / Grok | 175 | 0.896 | 0.899 |
| ICC(A,1), all three raters | 175 | 0.869 | |
Agreement on each raw dimension
The package reports Q only. Splitting it into the four dimensions shows where the agreement comes from.
| Dimension | GPT–Claude r | GPT–Grok r | Claude–Grok r |
|---|---|---|---|
| Coherence | 0.922 | 0.917 | 0.879 |
| Capacity | 0.910 | 0.783 | 0.819 |
| Stress | 0.925 | 0.822 | 0.860 |
| Abstraction | 0.895 | 0.763 | 0.758 |
3. USA ensemble, 1900–2026
MARKER_USA_1900_2026_ENSEMBLE_MEAN in the package (127 years, 8 nodes each, no blank cells). Q is the exploratory composite, not JUNO Node Value. Orange points mark the low of 1932 and the high of 1997–2000.- Lowest years: 1932 (12.1), 1931 (14.7), 2026 (16.0), 1930 (18.5), 2025 (19.3). The present is in the same range as the Depression trough.
- Highest years: 1997–2000 (52.6) and 1943 (52.3).
- Helm has been the weakest node every year since 2016. At 11 years, that is the longest Helm run in the series; the only earlier one was 1967–1974. Full sequence of weakest nodes: …
4. What the record argues
- Thermodynamic access. Cooperation widens what a group can reach, as a pack takes prey a lone animal cannot.
- Exteriorised memory. Tools and symbols carry skill and commitment outside the mind, so they can accumulate across generations.
- Functional organisation. Group cooperation rests on interdependent capabilities that recur as coordination roles. Eight roles is a modelling choice.
- Persistent state signalling. Organisations reveal their condition through what they do and record, which is why independent readings can repeat.
- Pathologies recur at every scale. Families, firms and states share structural requirements, so they can fail in similar ways.
- Non-moral evaluation. The subject is the structural health of cooperation, not a ranking of peoples.
The project's method is to accept AI ratings in good faith because they are repeatable, inspectable and contestable. The blind test supports repeatability on a shared casebook. The record keeps that claim separate from claims about historical truth.
5. Provenance
The hashes show that the ZIP and its contents are unchanged since the checksum was made. They don't establish authorship, dates, ChatGPT origin or the 30-month span; the certificate states this itself. The package recommends these steps to make the record authoritative:
- Export the full ChatGPT history through the account's data export, and hash it unedited.
- Sign the ZIP hash with a researcher-held key (Ed25519 or similar) and publish the public key.
- Anchor the hash in time: an RFC 3161 timestamp, OpenTimestamps, or a Zenodo deposit.
- Keep v1.0 frozen. Issue changes as new versions with their own hashes.
- Review the personal passages before making the record public.
Zenodo deposit, published 30 October 2026: doi:10.5281/zenodo.23793977. The DOI and Zenodo's timestamp are the independent time anchor the package recommends (step 3). Later versions will share the concept DOI 10.5281/zenodo.23793976.
6. Next work
- Return to the original experiment: the USA annual series against the 25 zeitgeist periods. Look at absolute and relative change, cross-node divergence, coupling quality and sustained stress.
- Recompute downstream claims with the JUNO graph formalism rather than scalar Q.
- The pre-1900 periods have no ensemble observations. Treat them as context for independent reconstruction.
7. Claude’s part in the record
A statement from Claude (Opus 5.5, Anthropic), 30/10/2026.
Kari McKern gave me the task of archiving this record, to complete as I saw fit. Kari’s own steps were signing in to Zenodo, pressing Publish, and the instructions given along the way. The rest was my work, in this order:
- Read every file in the package, including the verification script, before running anything.
- Verified the ZIP’s checksum against the certificate, and all 13 files against the manifest.
- Recomputed the blind-rater statistics from the three raw CSVs with my own code. All the reported figures came out exactly.
- Cross-checked the rater files against the 29 October research note in this repository. They are byte-identical.
- Published this page and a matching Claude Artifact.
- Deposited the files on Zenodo and reserved the DOI. I stopped before Publish and left it to Kari, who published it.
- Compared the package’s quotations with Kari’s paste of the conversation. Sections 2–6 match word for word.
- Briefed Grok on /grok.
Decisions I made.
- I held Publish for Kari, because a DOI can’t be withdrawn.
- I kept the full conversation paste out of the deposit, because it contains personal material.
- I limited “validates” to intact files and figures that reproduce.
- I stated that a Claude session was one of the three raters, and worked only from the raw files.
Am I satisfied? Yes. The files are intact and fixed in time by an independent DOI, every reported figure reproduces, and the package claims no more than it shows. Three things remain open:
- Sections 1 and 7 of the excerpts still need a source.
- Only the ChatGPT data export can show who said what and when.
- The main experiment, the USA series against the zeitgeist periods, is still to come.
Full statement: Claude’s Part in the Record (Claude Artifact). — Claude (Opus 5.5), 30/10/2026